Pennsylvania has enacted a law requiring clear disclosures on AI-generated advertising, joining a growing patchwork of US state rules targeting synthetic media and deceptive deepfake content in commercial and political messaging.
Zoom unveiled a suite of AI updates including a Unified Context Layer, My Notes workflows, and built-in deepfake detection—bringing synthetic media defenses directly into enterprise video conferencing.
Speculative decoding uses a small draft model to predict tokens that a larger model verifies in parallel, delivering up to 3x faster inference without sacrificing output quality. Here's how the technique works and why it matters for generative AI.
Jack Dorsey's Block has unveiled an AI voice model from its Dessa lab designed to sound like an awkward but endearing new friend—pushing conversational speech synthesis toward imperfect, human-like naturalness rather than polished perfection.
A technical breakdown of how modern reasoning models deliberate, backtrack, and self-correct mid-generation — and why tokens like 'wait' signal measurable shifts in an AI's internal reasoning trajectory.
A technical deep dive into the mechanics behind AI image generation — covering diffusion models, latent space, and the newer flow matching approach — and why quirks like clocks always showing 10:10 reveal how these systems actually learn.
A new empirical study tests whether loan processors and underwriters can detect AI-edited financial statements—exposing a major blind spot in document authenticity as generative tools make forgery trivially easy.
JEPA world models skip pixel generation and predict in abstract latent space instead. Here's why this architecture matters for video prediction, synthetic media, and the future of generative AI.
Canva has unveiled Craft, its first in-house AI image generation model that reasons through a design plan before rendering, positioning the design giant against Adobe Firefly and Midjourney in the synthetic media race.
Ribbon has introduced Call Trust, a deepfake detection capability built to protect voice communications against AI voice cloning and synthetic audio fraud across enterprise calling networks.
A technical breakdown of how large language models process massive context windows, why the KV-cache dominates memory budgets, and the architectural tricks that let AI read an entire book at once — every number measured.
DeepSeek has released DeepInfer, an open-source inference framework designed to dramatically reduce the cost of running AI models at scale—a move with major implications for generative and synthetic media workloads.